Triple

T20060644
Position Surface form Disambiguated ID Type / Status
Subject Derek Haas E499462 entity
Predicate notableWork P4 FINISHED
Object The Double NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Double | Statement: [Derek Haas, notableWork, The Double]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Double
Context triple: [Derek Haas, notableWork, The Double]
  • A. The Double chosen
    The Double is a 2013 dark comedy film directed by Richard Ayoade, loosely based on Dostoevsky’s novella, about a timid office worker whose life unravels when he encounters his confident doppelgänger.
  • B. The Double
    The Double is a psychoanalytic study by Otto Rank that explores the concept of the doppelgänger as a manifestation of the human psyche, particularly in relation to identity, narcissism, and the fear of death.
  • C. The Double
    The Double is a novella by Fyodor Dostoevsky that explores themes of identity, madness, and the uncanny through the story of a government clerk who is tormented by his own doppelgänger.
  • D. The Double
    The Double is Edgar Martinez’s iconic 1995 American League Division Series walk-off double that became one of the most famous moments in Seattle Mariners history.
  • E. De Dubbelen
    De Dubbelen is an industrial estate in Veghel, Netherlands, known for hosting a range of manufacturing, logistics, and commercial businesses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66374f4a48190beb575a6c84ebdb4 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.